The assessment of cities’ livability integrating human wellbeing and environmental impact

Zanella, Andreia; Camanho, Ana S.; Dias, Teresa Galvão

doi:10.1007/s10479-014-1666-7

Cited by 79 publications

(62 citation statements)

References 31 publications

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“…The research covers a number of disciplines, including ecology, geography, management, economics and environmental studies (Kennedy et al, 2011;Satterthwaite, 2008;Salim and Shafiei, 2014;Scholz and Binder, 2011). Case studies have been conducted on a variety of countries and regions, including Europe, the US, Russia and China (Barbera et al, 2010;Alnawaiseh et al, 2015;Zanella et al, 2014;Bao and Fang, 2007), with a tendency to look at watersheds, ecologically vulnerable areas, urbanized areas and metropolitan areas (Fang, 2015a;Zawar-Reza et al, 2010;Meerow and Newell, 2015). Studies have taken as their scope the world, countries, provinces, cities and parts of cities, with the main focus being cities (Luo et al, 2009;Yang et al, 2015;Anderson and O'farrell, 2012;Brown, 2012).…”

Section: The Interactive Coupling Effect Between Urbanization and Thementioning

confidence: 99%

International progress and evaluation on interactive coupling effects between urbanization and the eco-environment

2016

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Global urbanization is exerting severe stress and having far-reaching impacts on the eco-environment, and yet there exists a complex non-linear coupling relationship between the two. Research on the interactive coupling effect between urbanization and the eco-environment will be a popular area of study and frontier in international earth system science and sustainability science in the next 10 years, while also being a high-priority research topic of particular interest to international organizations. This paper systematically collates and summarizes the international progress made in research on interactive coupling theory, coupling relationships, coupling mechanisms, coupling laws, coupling thresholds, coupling models and coupling optimization decision support systems. The research shows that urbanization and eco-environment interactive coupling theories include the Kuznets curve theory, telecoupling theory, planetary boundaries theory, footprint family theory and urban metabolism theory; most research on interactive coupling relationships is concerned with single-element coupling relationships, such as those between urbanization and water, land, atmosphere, climate change, ecosystems and biodiversity; the majority of research on interactive coupling mechanisms and laws focuses on five research paradigms, including coupled human and nature systems, complex social-ecological systems, urban ecosystems, social-economic-natural complex ecosystems, and urbanization development and eco-environment constraint ring; the majority of interactive coupling simulations use STIRPAT models, coupling degree models, multi-agent system models and big data urban computer models; and research has been carried out on urbanization and eco-environment coupling thresholds, coercing risk and optimal decision support systems. An objective evaluation of progress in international research on interactive coupling between urbanization and the eco-environment suggests that there are six main research focal points and six areas lacking research: a lot of research exists on macroscopic coupling effects, with little research on urban agglomeration and scale coupling effects; considerable research exists on sin-

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Section: The Interactive Coupling Effect Between Urbanization and Thementioning

confidence: 99%

International progress and evaluation on interactive coupling effects between urbanization and the eco-environment

2016

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“…Taking the indicator of "internet availability" as an example, since it is widely argued that the development of internet and information technology has been extensively altering our life style and changing the city's political, economic, and cultural roles in the world development [41][42][43], many cities have given great priority to the research and development of telecommunication technology in their future planning, such as Tokyo, New York, Paris, and London [35,36,44]. Thus it is necessary to incorporate this indicator into the livability evaluation system in addition to those conventional indicators, such as roads and living space that are widely used in literature [25,30]. Moreover, it is noted that due to different statistical scopes and data availability, two indicators in New York (availability of public parks and living space) are replaced by others (availability of public recreational facilities and house ownership).…”

Section: Methodsmentioning

confidence: 99%

“…The methods for determining the weights of scopes and indicators also differ from one another. In specific, Zanella et al [30] established their livability index through a data envelopment analysis (DEA)-based composite indicator model, which focuses more on the achievements of indicators. Tan and Thye [22] evaluated the livability based on the perspectives of ordinary persons.…”

Section: Contemporary Studies Of Livabilitymentioning

confidence: 99%

Does a Certain Rule Exist in the Long-Term Change of a City’s Livability? Evidence from New York, Tokyo, and Shanghai

Liu

Han

2017

Sustainability

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Abstract:Livability is the ultimate goal of city development. However, the question of whether the changing pattern of a city's livability follows a certain rule or not has seldom been argued. To address the question, three cities, including New York, Tokyo, and Shanghai are selected for case studies. Based on a proposed assessment framework, the long-term trend and determinants of three cities' livability are quantified and investigated. The results suggest that the livability of three cities demonstrates a similar changing pattern during the last decades, with the level going through a three-staged N-curve development, increasing at the beginning, then declining in the mid-term, and rebounding afterward. It implies that the staged development rule should be followed when constructing a livable city. Efforts should be targeted towards the most underlying aspects in different periods. The empirical analysis of the three cities ascertains the existence of a development rule regarding livability, and suggests many potential uses for decision-making support.

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“…Table 1 presents the set of dimensions included, and the indicators selected to capture each dimension, as well as a justification for their selection. The 11 dimensions selected for the study cover all the city's characteristics proposed in the review undertaken by Lambiri et al (2007) and the indicators chosen to capture each dimension are consistent with the choices made in previous studies of QoL of cities (e.g., Ali, Malkawi, & Al-Betawi, 2009;Marans, 2012;Mercer, 2017;Morais & Camanho, 2011;Zanella, Camanho, & Dias, 2015). The reasoning behind the inclusion of each of these 11 dimensions, as well as of the choice of indicators, is briefly explained in the text that follows.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

“…The dimension transport and accessibility aims to identify the time consumed in commuting activities as it affects the QoL in cities (Zanella et al, 2015). The proximity to work releases time for leisure activities and to develop social Cities that are able to attract larger households have the conditions to ensure higher QoL (Lekwa et al, 2007).…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Comparing the quality of life of cities that gained and lost population: An assessment with DEA and the Malmquist index

Amado

Barreira

Santos

et al. 2019

Papers in Regional Science

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This study compares the quality of life (QoL) of cities that lost population with that of cities that gained population. A unique dataset composed of observations for 11 dimensions of QoL for all mainland Portuguese cities is used. By employing a non‐parametric approach (data envelopment analysis), and by using a Malmquist‐type index, this study identifies differences in QoL between the group of cities that lost population and the group of cities that gained population, as well as differences within each group. Despite the heterogeneity in cities that shrunk, this group presents, on average, higher QoL than cities that have grown.

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The assessment of cities’ livability integrating human wellbeing and environmental impact

Cited by 79 publications

References 31 publications

International progress and evaluation on interactive coupling effects between urbanization and the eco-environment

International progress and evaluation on interactive coupling effects between urbanization and the eco-environment

Does a Certain Rule Exist in the Long-Term Change of a City’s Livability? Evidence from New York, Tokyo, and Shanghai

Comparing the quality of life of cities that gained and lost population: An assessment with DEA and the Malmquist index

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